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TDWI Upside - Where Data Means Business

Self-Service Business Intelligence


CEO Q&A: Data Quality Problems Will Still Haunt Your Analytics Future

Data quality issues become even more important as machine learning use grows. DataOps and data wrangling help enterprises address this vital problem.

Empowering Everyone to Make Decisions with Confidence

Focusing on these five points can help your enterprise democratize its data science successfully.

Nordisk Movie Studio Drives Data with a Small Team and a Big Vision

Modernizing their data warehouse presented a host of problems for a Denmark media company.

Building Team-Driven Analytics and Trusting Data

Most enterprises can't fully leverage their data because they haven't established policies that build trust in the data and in collaboration.

Data Lake Platform Modernization: 4 New Directions

Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.

Data Digest: Augmented Analytics, Embedded BI, Citizen Data Science

Democratizing and embedding analytics capabilities is a growing trend, as these articles explain.

Data Digest: Improving Data Management, Selecting Self-Service Technology, Effective Data Quality

How data management impacts customer experience, factors for choosing self-service architecture, and improving data quality and risk management.

How and Why Your Enterprise Should Democratize Data Science

To overcome the shortage of data scientists, many organizations are turning to democratizing data science. Here's what you need to know.

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